Jacques Calmet

1.5k citations
71 papers · 697 · h-index 11

Impact in

Papers in

Jacques Calmet

65 papers receiving 631 citations

Peers

Jacques Calmet
Comparison fields: 5 of 95
  • Nuclear and High Energy Physics 222
  • Computational Theory and Mathematics 192
  • Artificial Intelligence 227
  • Algebra and Number Theory 27
  • Geometry and Topology 41
Replace Paul S. Wang with:
Paul S. Wang United States
Jack Levine United States
S. R. Czapor Canada
Philippe Jacquet France
Saburou Saitoh Japan
Harold Exton United Kingdom
Laurent Fousse France
S. K. Zaremba United Kingdom
Vladimir P. Gerdt Russia
V. A. Malyshev Russia
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Citations per field
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Citations per year

Countries citing papers authored by Jacques Calmet

Since Specialization
Citations

This map shows the geographic impact of Jacques Calmet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jacques Calmet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Calmet more than expected).

Fields of papers citing papers by Jacques Calmet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques Calmet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jacques Calmet. The network helps show where Jacques Calmet may publish in the future.

Co-authors

The 25 scholars most cited alongside Jacques Calmet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacques Calmet Line = papers co-authored together Jacques Calmet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computer Algebra
1982166
2 1977111
3 200660
4 197654
5 199532
6 197322
7 197319
8
From entropy to ontology
200415
9 197113
10 200211
11 198510
12 197510
13 19759
14 19718
15 19758
16 19808
17 20057
18 19867
19 20086
20 19966

About Jacques Calmet

Jacques Calmet is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Nuclear and High Energy Physics, having authored 71 papers that have together received 697 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Logic, programming, and type systems (10 papers), Logic, Reasoning, and Knowledge (8 papers), Polynomial and algebraic computation (8 papers), Particle physics theoretical and experimental studies (6 papers), Quantum Mechanics and Applications (5 papers), Atomic and Molecular Physics (5 papers) and Computability, Logic, AI Algorithms (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (222 citations), Computational Theory and Mathematics (192 citations), Artificial Intelligence (227 citations), Algebra and Number Theory (27 citations) and Geometry and Topology (41 citations). Jacques Calmet has collaborated with scholars based in Germany, France and United States. Frequent co-authors include M. Perrottet, Eduardo de Rafael, Yi Yang, A. Peterman, Stéphan Narison, Clemens Ballarin, David A. Owen, Xavier Calmet, H. Grotch and R. C. Barrett. Their work appears in journals such as Physics Letters B, Mathematics and Computers in Simulation, Computer Physics Communications, Theoretical Computer Science and Reviews of Modern Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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